Observe.AI Stock

observe.aiEnterprise Software / Data IntelligenceFounded: 2017Funding to Date: $213.59MM

Observe.AI provides businesses with insight into the quality of contact center experiences for end users. Using AI intelligence, Observe.AI enables visibility into the quality of customer care in order to identify new opportunities and risks. Observe.AI was founded in 2017 by Swapnil Jain, Sharath Keshava Narayana, and Akash Singh and is headquartered in San Francisco, CA.

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Team

Management Team

Swapnil Jain
Co-Founder, Chief Executive Officer & Board Member
Sharath Keshava Narayana
Co-Founder & Chief Revenue Officer
Jithendra Vepa
Chief Scientific Officer

Board Members

Andy Vitus
Scale Venture Partners
Jishnu Bhattacharjee
Nexus Venture Partners
Priya Saiprasad
SoftBank Investment Advisers
Ram Gupta
Nexus Venture Partners
Steven Sloane
Menlo Ventures

Frequently Asked Questions About Observe.AI’s Stock

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Observe.AI is a privately held company and therefore does not have a public stock price. However, you may access Observe.AI’s private market stock price with Forge Data.
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Observe.AI does not have an official ticker symbol because this company is not currently publicly traded.
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News Highlights

7 Generative AI Startups You Should Keep an Eye On
The article highlights seven generative AI startups to watch, including Anthropic, Glean, Soundraw, Observe.AI, Synthesia, Veesual AI, and Stability AI. These companies are leveraging AI and machine learning to create innovative products and services in areas such as responsible AI systems, workplace search, music generation, contact center solutions, video production, virtual try-on experiences for fashion, and open-source generative intelligence.
Observe.ai debuts large language model optimized for contact center tasks
Observe.ai, a venture-backed developer of contact center software, has launched a large language model optimized for customer service tasks. The model, referred to as the Contact Center LLM, powers a new set of automation features called the Generative AI Suite. The company claims its model can perform customer sentiment analysis up to 35% more accurately than other AI systems and can be trained on custom datasets to further improve accuracy.
Updated on: May 26, 2024

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